
Telebort Program G: Data Preparation & Classification
Authored by Kee Suen
Computers
12th Grade
Used 7+ times

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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following steps are NOT part of the Data Preparation process?
Data Cleaning
Data Preprocessing
Data Training
Data Splitting
2.
MULTIPLE SELECT QUESTION
30 sec • 1 pt
The figure shows the shape of the dataset. Based on that, which of the following statements are correct? (Select 2 options)
There are a total of 2 data in the dataset
There are a total of 5 data in the dataset
Each data has 2 features
Each data has 5 features
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Data Scaling is a technique of converting categorical variables into numerical values so that it can be easily fitted into the machine learning model.
True
False
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The figure shows the codes of a data scaling process. Based on this, what would be the minimum and maximum value in which the data can be scaled?
Min: 0
Max: 100
Min: 34
Max: 100
Min: 0
Max: 200
Min: 34
Max: 200
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main purpose of having a testing dataset prepared for the machine learning process?
To evaluate the performance of the model
To train the model by allowing it to learn the dataset's pattern
To speed up the machine learning process by reducing the dataset size
To remove inaccurate data from the dataset
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is classification?
A supervised machine learning technique used to predict numerical values
A supervised machine learning technique used to predict categorical values
An unsupervised machine learning technique used to predict numerical values
An unsupervised machine learning technique used to predict categorical values
7.
MULTIPLE SELECT QUESTION
30 sec • 1 pt
Which of the following are NOT the properties of the KNN algorithm? (Select 2 options)
It is a lazy learning algorithm
It does not make any assumptions of the dataset
It assumes that each feature in the dataset are independent of each other
It uses the dataset to build a tree diagram
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